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Hungarian Sentence-level Sentiment Analysis with Finetuned huBERT Model

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  • Pretrained model used: huBERT
  • Finetuned on Hungarian Twitter Sentiment (HTS) Corpus
  • Labels: 0 (negative), 1 (positive)

Limitations

  • max_seq_length = 128

Results

Model HTS2 HTS5
huBERT 85.56 68.99
XLM-RoBERTa 85.56 66.50

Citation

If you use this model, please cite the following paper:

@inproceedings {yang-sentiment,
    title = {Improving Performance of Sentence-level Sentiment Analysis with Data Augmentation Methods},
    booktitle = {Proceedings of 12th IEEE International Conference on Cognitive Infocommunications (CogInfoCom 2021)},
    year = {2021},
    publisher = {IEEE},
    address = {Online},
    author = {Laki, László and Yang, Zijian Győző}
    pages = {417--422}
}
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